The Annals of Regional Science

, Volume 52, Issue 3, pp 825–837 | Cite as

Open regional science

  • Sergio J. Rey
Original Paper


This presidential address will contrast two worlds of science. The first, and the one we regional scientists currently find ourselves embedded within, is what I will call captured science. While this is our status quo, it is not generally what holds everywhere in the broader scientific community where a second and new type of science is operative. This is what I will call open science. My purpose in this talk is to situate regional science within the paradigm of open science by arguing that our future should be linked to open data, open modeling, open software, open collaboration, and open publication.

JEL Classification

R10 B00 


  1. Anselin L, Rey SJ (2012) Spatial econometrics in an age of cybergiscience. Int J Geogr Inf Sci 26:2211–2226CrossRefGoogle Scholar
  2. Bohannon J (2013) Who’s afraid of peer review? Science 342(6154):60–65. doi: 10.1126/science.342.6154.60 CrossRefGoogle Scholar
  3. Boulton R (2012) Science as an open enterprise. Royal Society, London, p 104Google Scholar
  4. de Groot HLF, Abreu M, Florax RJ (2005) A meta-analysis of beta-convergence: the legendary 2%. J Econ Surv 19(3):389–420CrossRefGoogle Scholar
  5. Gowers T, Nielsen M (2009) Massively collaborative mathematics. Nature 461(7266):879–881CrossRefGoogle Scholar
  6. Herndon T, Ash M, Pollin R (2013) Does high public debt consistently stifle economic growth? A critique of Reinhart and Rogoff. Political Economy Research InstituteGoogle Scholar
  7. Hewings GJ, Nazara S, Dridi C (2004) Channels of synthesis forty years on: integrated analysis of spatial economic systems. J Geogr Syst 6(1):7–25CrossRefGoogle Scholar
  8. Himanen P (2001) The hacker ethic and the spirit of the information age. Warburg, SeckerGoogle Scholar
  9. Jackson RW (1994) Object-oriented modeling in regional science: an advocacy view. Pap Reg Sci 73(4):347–367CrossRefGoogle Scholar
  10. Raymond EC (1999) The cathedral & the bazaar: musings on Linux and open source by an accidental revolutionary. O’Reilly, SebastopolGoogle Scholar
  11. Reiter JP (2012) Statistical approaches to protecting confidentiality for microdata and their effects on the quality of statistical inferences. Pub Opin Q 76(1):163–181CrossRefGoogle Scholar
  12. Rey SJ (2000) Integrated regional econometric+input-output modeling: issues and opportunities. Pap Reg Sci 79:271–292CrossRefGoogle Scholar
  13. Rey SJ (2009) Show me the code: spatial analysis and open source. J Geogr Syst 11:191–207CrossRefGoogle Scholar
  14. Rey SJ, Anselin L (2010) Pysal: a python library of spatial analytical methods. In: Fischer MM, Getis A (eds) Handbook of applied spatial analysis. Springer, Berlin, pp 175–193CrossRefGoogle Scholar
  15. Rey SJ, Janikas MV (2006) Stars: space-time analysis of regional systems. Geogr Anal 38(1):67–86CrossRefGoogle Scholar
  16. Rogoff K, Reinhart C (2010) Growth in a time of debt. Am Econ Rev 100(2):573–578CrossRefGoogle Scholar
  17. Schroeder W (2013) The new scientific publishers. In: Keynote: scientific computing with python. AustinGoogle Scholar
  18. Sui D (2014) Opportunities and impediments for open gis. Trans GIS 18(1):1–24CrossRefGoogle Scholar
  19. Sweeney L (2005) Recommendations to identify and combat privacy problems in the Commonwealth.
  20. Tolle KM, Tansley D, Hey AJ (2011) The fourth paradigm: data-intensive scientific discovery (point of view). Proc IEEE 99(8):1334–1337CrossRefGoogle Scholar
  21. University of California (2013) UC open access policy. Retrieved from
  22. Van Noorden R (2013a) Open access: the true cost of science publishing. Nature 495(7442):426–429CrossRefGoogle Scholar
  23. Van Noorden R (2013b) Half of 2011 papers now free to read. Nature 500(7463):386–387CrossRefGoogle Scholar
  24. Vaughan-Nichols SJ (2013) Linux continues to rule supercomputers. Retrieved from
  25. von Hippel E (2004) Democratizing innovation. MIT Press, CambridgeGoogle Scholar
  26. Waddell P (2002) Urbansim: modeling urban development for land use, transportation, and environmental planning. J Am Plan Assoc 68(3):297–314CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  1. 1.GeoDa Center for Geospatial Computation and Analysis, School of Geographical Sciences and Urban PlanningArizona State UniversityTempeUSA

Personalised recommendations